How to Prove What Your AI Agent Did, in Minutes: ZizkaDB’s Two GitHub Actions and MCP Listing

Description and use

Automated proof of AI agent actions using GitHub Actions ZizkaDB Why and ZizkaDB Audit, delivering quick causal chains and verifiable audit reports.

Problem

Teams need quick, verifiable proof of AI agent actions for debugging failures and audit compliance.

Outcome

The workflow automates evidence generation for AI agent failures and audits, reducing debugging time and audit preparation costs, while providing verifiable, tamper‑evident records.

Workflow

• Add ZizkaDB Why action to a test workflow to log failures and post causal chains to PRs.
• Configure agent SDK to log steps with parent links for causal tracing.
• Add ZizkaDB Audit action to a scheduled workflow to verify hash chains, export history, and produce attestable reports.
• Verify the audit report with gh attestation verify to ensure integrity.
• Optionally add the MCP server to editor clients via registry or manual config for in‑app visibility.

Evidence

ZizkaDB now gives you two ready‑made GitHub Actions and an official MCP listing that answer those questions automatically.

Source

The action starts ZizkaDB inside the runner, runs your tests, and posts the causal chain of any failure to the job summary and the PR.

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Each run checks every agent’s hash chain, exports the full history, and writes a report. If any event was edited, inserted, reordered, or deleted without a record, the step fails and names the event.

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